Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 29.7% higher average benchmark score. Gemma 3 4B offers 65.5K more tokens in context window than GLM-4.6. Gemma 3 4B is $2.54 cheaper per million tokens. Overall, Gemma 3 4B is the stronger choice for coding tasks.
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
Zhipu AI
GLM-4.6 is a multimodal language model developed by Zhipu AI. It achieves strong performance with an average score of 61.2% across 7 benchmarks. It excels particularly in AIME 2025 (93.9%), LiveCodeBench v6 (82.8%), GPQA (81.0%). It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.
6 months newer
Gemma 3 4B
2025-03-12
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
Gemma 3 4B
GLM-4.6
Context window and performance specifications
Average performance across 32 common benchmarks
Gemma 3 4B
GLM-4.6
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
GLM-4.6
Gemma 3 4B
GLM-4.6
Gemma 3 4B
GLM-4.6
DeepInfra
ZeroEval